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Optical frequency combs paved the way for fast and compact multi-component optical chemical analysis due to their broadband spectra. Dual-comb spectrometers embody this technology, but their design requires a pair of matched combs, adding…

Optics · Physics 2025-09-25 Ina Heckelmann , Davide Pinto , Uwe Schmitt , Mattias Beck , Jérôme Faist

This paper presents a GPU-accelerated computational framework for reconstructing high resolution (HR) LF images under a mixed Gaussian-Impulse noise condition. The main focus is on developing a high-performance approach considering…

Image and Video Processing · Electrical Eng. & Systems 2022-06-13 Trung-Hieu Tran , Kaicong Sun , Sven Simon

It has been widely accepted that Graphics Processing Units (GPU) is one of promising schemes for encryption acceleration, in particular, the support of complex mathematical calculations such as integer and logical operations makes the…

Distributed, Parallel, and Cluster Computing · Computer Science 2019-02-15 Canhui Wang , Xiaowen Chu

Reducing the pulse repetition rate of an optical frequency comb increases the pulse energy for a given average power. This enhances the efficiency of nonlinear frequency conversion and it facilitates extending the accessible wavelength…

Photoacoustic (PA) imaging has been widely applied in both preclinical and clinical applications. With a significantly increasing number of data acquisition channels, fast and high-quality image reconstruction for real-time PA imaging is an…

Medical Physics · Physics 2024-08-20 Zijian Gao , Yuting Shen , Daohuai Jiang , Fengyu Liu , Feng Gao , Fei Gao

Network traffic is difficult to monitor and analyze, especially in high-bandwidth networks. Performance analysis, in particular, presents extreme complexity and scalability challenges. GPU (Graphics Processing Unit) technology has been…

Networking and Internet Architecture · Computer Science 2011-08-09 Wenji Wu , Phil DeMar , Don Holmgren , Amitoj Singh , Ruth Pordes

Tunable mid-infrared lasers are essential for optical sensing and imaging. Existing technologies, however, face challenges in simultaneously achieving broadband spectral tunability and ultra-rapid scan rates, limiting their utility in…

Optics · Physics 2025-01-20 Xiaoshuai Ma , Tianjian Lv , Xudong Zhu , Ming Yan , Heping Zeng

Optical spectroscopy of molecular radicals is an important tool in physical chemistry, and is a prerequisite for many experiments which use molecules for quantum science and precision measurement. However, even the simplest molecules have…

Chemical Physics · Physics 2025-05-07 Ashay N. Patel , Madison I. Howard , Timothy C. Steimle , Nicholas R. Hutzler

Recently, single-stage embedding based deep learning algorithms gain increasing attention in cell segmentation and tracking. Compared with the traditional "segment-then-associate" two-stage approach, a single-stage algorithm not only…

Computer Vision and Pattern Recognition · Computer Science 2021-04-21 Mengyang Zhao , Aadarsh Jha , Quan Liu , Bryan A. Millis , Anita Mahadevan-Jansen , Le Lu , Bennett A. Landman , Matthew J. Tyskac , Yuankai Huo

Time-resolved near-infrared absorption spectroscopy of single non-repeatable transient events is performed at high spectral resolution with a dual-comb interferometer using a continuous-wave laser followed by a single electro-optic…

Recently developed techniques for generating precisely equidistant optical frequencies over broad wavelength ranges are revolutionizing precision physical measurement [1-3]. These frequency "combs" are produced primarily using relatively…

We demonstrate single-photon time-domain interference in a new realm. We observe interferences in the photon counting statistics with two separate mode-locked femtosecond lasers of slightly different repetition frequencies, each emitting a…

Optics · Physics 2020-12-01 Nathalie Picqué , Theodor W. Hänsch

Optical frequency comb is an enabling technology for a multitude of applications from metrology to ranging and communications. The tremendous progress in sources of optical frequency combs has mostly been centered around the near-infrared…

Spectroscopy is the basic tool for studying molecular physics and realizing bio-chemical sensing. However, it is challenging to realize sub-femtometer resolution spectroscopy over broad bandwidth. In this paper, broadband and…

Optics · Physics 2022-12-19 Bingxin Xu , Yangyang Wan , Xinyu Fan , Zuyuan He

Dual-comb spectroscopy enables broadband analysis of key molecules with unparalleled frequency resolution and exceptional signal-to-noise ratios across various spectral regions. However, fully harnessing its potential for broadband…

Beginning with a continuous wave laser at 1064 nm, we generate a 30 GHz electro-optic frequency comb which contains 100 lines spanning 3 THz. The initial comb is subsequently amplified, spectrally broadened in normal dispersion photonic…

Dispersive Fourier transformation is a powerful technique in which spectral information is mapped into the time domain using chromatic dispersion. It replaces a spectrometer with an electronic digitizer, and enables real-time spectroscopy.…

Optics · Physics 2009-11-13 J. Chou , D. R. Solli , B. Jalali

In this paper we present an optimized parallel implementation of a flexible MAP decoder for synchronization error correcting codes, supporting a very wide range of code sizes and channel conditions. On mid-range GPUs we demonstrate decoding…

Distributed, Parallel, and Cluster Computing · Computer Science 2018-02-26 Johann A. Briffa

We report on the fabrication of high-Q, fused-quartz microresonators and the parametric generation of a frequency comb with 36 GHz line spacing using them. We have characterized the intrinsic stability of the comb in both the time and…

Optics · Physics 2011-11-18 Scott B. Papp , Scott A. Diddams

In this paper, we report an optimized union-find (UF) algorithm that can label the connected components on a 2D image efficiently by employing the GPU architecture. The proposed method contains three phases: UF-based local merge, boundary…

Computer Vision and Pattern Recognition · Computer Science 2017-08-30 Jun Chen , Qiang Yao , Houari Sabirin , Keisuke Nonaka , Hiroshi Sankoh , Sei Naito